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Jin Hur

Researcher at Incheon National University

Publications -  241
Citations -  3417

Jin Hur is an academic researcher from Incheon National University. The author has contributed to research in topics: Fault (power engineering) & Stator. The author has an hindex of 29, co-authored 237 publications receiving 2830 citations. Previous affiliations of Jin Hur include Changwon National University & International University, Cambodia.

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Magnetic Field Analysis of Irreversible Demagnetization in Brushless DC Motor According to the Dynamic and Static Characteristic

TL;DR: In this paper, permanent magnet (PM) brushless direct current (BLDC) motors are widely used in industrial application such as electric vehicles, robot, and home appliances because the PM BLDC motors have potential to be small size due to their high energy density, performance and efficiency.
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Electrical Characteristic Analysis According to Contact Resistance Between Turns of HTS Coil

TL;DR: In this article, the authors analyzed the output characteristics of a high-temperature superconductor (HTS) coil depending on the turn-to-turn contact resistance and found that as the contact resistance decreases, the electrical stability increases but the output efficiency decreases compared with the input.
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Simplified Equivalent Model of PMSM With Inter-Turn Fault

TL;DR: A simplified d–q equivalent circuit model of a permanent magnet synchronous motor with an ITF is proposed, developed by reflecting representative phenomena related to the negative sequence components of the fault in advance of a final model construction, such that the final model does not require the separation of positive andnegative sequence components.
Journal ArticleDOI

Multiple Sensor Fault Detection Algorithm for Fault Tolerant Control of BLDC Motor

Muhammad Aqil, +1 more
- 27 Apr 2021 - 
TL;DR: A novel algorithm is developed along with the new experimental scheme and the FTCS can deal with the failure of up to two Hall-effect sensors and the method can be implemented with ease, is fast and does not require high end processors.
Proceedings ArticleDOI

Torque characteristics analysis considering the tolerance of electric machine by stochastic response surface method

TL;DR: In this paper, a stochastic response methodology (SRSM) was introduced to find the tolerance band of design variables and estimate the characteristic distribution of the products, and the validity of this method was confirmed by obtaining statistically significant results for torque characteristics of the motor.